Fraud Data Scientist

Develop and deploy ML models to detect and mitigate financial fraud in real-time.

• •As a Fraud Data Scientist, you will be at the front lines of protecting our ecosystem from sophisticated financial fraud and abuse.
• •You will join a high-impact team operating in a data-rich, high-frequency environment where seconds matter.
• •In this role, you will take ownership of the end-to-end machine learning lifecycle—from uncovering complex fraud patterns to deploying highly scalable, real-time models into production.
• •You will collaborate closely with Engineering, Product, and Risk Operations to build robust defenses that balance strict security with a seamless user experience.
• •Key Responsibilities Design, train, and deploy advanced machine learning models to detect and mitigate fraud in real-time.
• •Take full ownership of putting models into production systems, ensuring low-latency execution and high reliability.
• •Research, build, and implement Agentic flows and LLM-driven orchestration to automate multi-step fraud decisioning.
• •Conduct deep-dive exploratory analysis on massive datasets to identify emerging fraud vectors.
• •Build and optimize real-time streaming and batch features to improve model signal and precision.
• •Requirements Minimum of 3+ years of applied Data Science experience with a proven track record across fintech domains, with experience in fraud, risk, or payments preferred.